A Digital Twin for Exoskeleton Pilot
Study Overview
Status
Status
Conditions
Conditions
Intervention / Treatment
Intervention / Treatment
Detailed Description
Study Type
Study Type
Enrollment (Estimated)
Enrollment
Phase
Phase
- Not Applicable
Contacts and Locations
Study Contact
Study Contact
- Name: Wei-Li Hsu, Ph.D
- Phone Number: +886-2-3366-8127
- Email: wlhsu@ntu.edu.tw
Study Locations
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Taipei,Taiwan, Taiwan
- Recruiting
- National Taiwan University Hospital
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Contact:
- Wei-Li Hsu, Ph.D
- Email: wlhsu@ntu.edu.tw
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Participation Criteria
Eligibility Criteria
Eligibility Criteria
Ages Eligible for Study
Accepts Healthy Volunteers
Description
Inclusion Criteria:
- Can stand independently and walk for more than 5 minutes.
- According to age, it can be divided into: elderly groups (aged between 50~80 years old); Young people (aged 18~50 years).
Exclusion Criteria:
- Have current or previous neurological diseases of the lower extremities, such as: acute neuritis, stroke, Parkinson's disease.
- Have current or previous orthopedic diseases of the lower extremities, such as: knee replacement, rheumatoid arthritis, or sports injuries and other symptoms.
Study Plan
How is the study designed?
Design Details
- Primary Purpose: Basic Science
- Allocation: N/A
- Interventional Model: Single Group Assignment
- Masking: None (Open Label)
Number of Arms
Arms and Interventions
Participant Group / ArmParticipant Group / Arm |
Intervention / TreatmentIntervention / Treatment |
|---|---|
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Experimental: A Digital Twin for Exoskeleton Pilot
This project is expected to use different machine learning models to make accurate predictions of human intent when healthy people drive different actions or action transitions of common human actions.
Drivers will wear sensors such as inertial measurement unit (IMU) and electromyography (EMG) in the lower limbs to measure body signals of participants during actions in a non-invasive way, and let the system calculate the joint angle, angular velocity and angular acceleration of each joint of the driving lower limb related human signals.
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The purpose of this project is to establish a digital twin of this driving, which will perform the driving action in parallel, and calculate in parallel in the virtual environment the torque required to provide each joint torque to maintain stable walking without falling, and this torque can be used as a monitoring basis for the auxiliary torque of each axis for the exoskeleton.
When the exoskeleton's movements are out of range of a stable gait, the controller can warn and attenuate the output of auxiliary forces, and on the other hand, it has the opportunity to analyze whether the intention of driving is to switch the movement mode - such as stopping, or sitting, squatting, etc.
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What is the study measuring?
Primary Outcome Measures
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
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The angles of the subject's joints.
Time Frame: 3 years
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The angles of the subject's joints (unit: degree) are performed by using IMU sensors when subjects do some action such as standing, walking or sitting.
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3 years
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The activities of muscles state of human movement.
Time Frame: 3 years
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The activities of muscles state of human movement (unit: millivolt or %) are performed by using EMG sensors when subjects do some action such as standing, walking, sitting, squatting or step-up.
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3 years
|
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The comprehensive intention of the subjects.
Time Frame: 3 years
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The comprehensive intention time of the human body (unit: second) is performed by using IMU sensors and EMG sensors when subjects do some action such as standing, walking, sitting, squatting or step-up.
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3 years
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Collaborators and Investigators
Sponsor
Sponsor
Investigators
Investigators
- Study Director: Wei-Li Hsu, Ph.D, Study Principal Investigator National Taiwan Unversity
Study record dates
Study Major Dates
Study Start (Actual)
Study Start
Primary Completion (Estimated)
Primary Completion
Study Completion (Estimated)
Study Completion
Study Registration Dates
First Submitted
First Submitted
First Submitted That Met QC Criteria
First Submitted That Met QC Criteria
First Posted (Actual)
First Posted
Study Record Updates
Last Update Posted (Actual)
Last Update Posted
Last Update Submitted That Met QC Criteria
Last Update Submitted That Met QC Criteria
Last Verified
Last Verified
More Information
Terms related to this study
Other Study ID Numbers
Other Study ID Numbers
- 202209051RINB
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
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